博西普韦药物对 2019-nCoV 主要蛋白酶抑制活性的硅学研究。

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Gargi Tiwari, Madan Singh Chauhan, Dipendra Sharma
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引用次数: 0

摘要

Boceprevir 药物是一种酮酰胺丝氨酸蛋白酶抑制剂,具有线性拟肽结构,对 2019-nCoV 主要蛋白酶具有抑制活性。本文报告了boceprevir的电子特性及其与蛋白质受体的分子对接和分子动力学模拟分析。为此,在气体和水介质中,采用 6-311+G(d,p) 基集,在 B3LYP 和 ωB97XD 水平上通过 DFT 得到了博西普韦的平衡结构。HOMO-LUMO 和吸收光谱分析分别用于评估博西瑞韦的毒性和光敏性。分子对接模拟测试了博西普韦与 2019-nCoV MPRO 的结合亲和力;结果表明配体与目标蛋白残基位置之间存在多种理想的结合位置。分子动力学模拟考虑了最佳结合位置。这些发现有助于阐明博西普韦对 2019-nCoV MPRO 的药效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico study of inhibition activity of boceprevir drug against 2019-nCoV main protease.

Boceprevir drug is a ketoamide serine protease inhibitor with a linear peptidomimetic structure that exhibits inhibition activity against 2019-nCoV main protease. This paper reports electronic properties of boceprevir and its molecular docking as well as molecular dynamics simulation analysis with protein receptor. For this, the equilibrium structure of boceprevir has been obtained by DFT at B3LYP and ωB97XD levels with 6-311+G(d,p) basis set in gas and water mediums. HOMO-LUMO and absorption spectrum analysis have been used to evaluate the boceprevir's toxicity and photosensitivity, respectively. Molecular docking simulation has been performed to test the binding affinity of boceprevir with 2019-nCoV MPRO; which rendered a variety of desirable binding locations between the ligand and target protein's residue positions. The optimum binding location has been considered for molecular dynamics simulation. The findings have been addressed to clarify the boceprevir drug efficacy against the 2019-nCoV MPRO.

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来源期刊
CiteScore
4.10
自引率
5.00%
发文量
55
期刊介绍: A Journal of Biosciences: Zeitschrift für Naturforschung C (ZNC) is an international scientific journal and a community resource for the emerging field of natural and natural-like products. The journal publishes original research on the isolation (including structure elucidation), bio-chemical synthesis and bioactivities of natural products, their biochemistry, pharmacology, biotechnology, and their biological activity and innovative developed computational methods for predicting the structure and/or function of natural products. A Journal of Biosciences: Zeitschrift für Naturforschung C (ZNC) welcomes research papers in fields on the chemistry-biology boundary which address scientific ideas and approaches to generate and understand natural compounds on a molecular level and/or use them to stimulate and manipulate biological processes.
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